Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives
The rapid development of information and communication technologies has enabled a value
co-creation paradigm for developing industrial products and services, where massive …
co-creation paradigm for developing industrial products and services, where massive …
Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Challenges and opportunities in deep reinforcement learning with graph neural networks: A comprehensive review of algorithms and applications
Deep reinforcement learning (DRL) has empowered a variety of artificial intelligence fields,
including pattern recognition, robotics, recommendation systems, and gaming. Similarly …
including pattern recognition, robotics, recommendation systems, and gaming. Similarly …
Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph
The rapid development of the industrial internet of things (IIoT) enlightened more tools and
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0
Fault diagnosis is the key concern in the operation and maintenance of industrial assets. A
fault diagnosis knowledge graph (KG) can provide decision support to the engineers to …
fault diagnosis knowledge graph (KG) can provide decision support to the engineers to …
A novel knowledge graph development for industry design: a case study on indirect coal liquefaction process
Z Wang, B Zhang, D Gao - Computers in Industry, 2022 - Elsevier
Hazard and operability analysis (HAZOP) is a remarkable representative in industrial safety
engineering. However, a great storehouse of industrial safety knowledge (ISK) in HAZOP …
engineering. However, a great storehouse of industrial safety knowledge (ISK) in HAZOP …
Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph
Understanding tourists' decision-making processes, in which many factors ranging from
functional attributes to geographical configurations are highly intertwined, has long been a …
functional attributes to geographical configurations are highly intertwined, has long been a …
When a disaster happens, we are ready: Location mention recognition from crisis tweets
Geolocation information is important for humanitarian organizations to gain situational
awareness and deliver timely aid during disasters. Towards addressing the problem of …
awareness and deliver timely aid during disasters. Towards addressing the problem of …
Geoparsing: Solved or biased? an evaluation of geographic biases in geoparsing
Geoparsing, the task of extracting toponyms from texts and associating them with
geographic locations, has witnessed remarkable progress over the past years. However …
geographic locations, has witnessed remarkable progress over the past years. However …
Improving social media use for disaster resilience: challenges and strategies
NSN Lam, M Meyer, M Reams, S Yang… - … Journal of Digital …, 2023 - Taylor & Francis
This paper develops a social media-disaster resilience analysis framework by categorizing
types of social media use and their challenges to better understand and assess its role in …
types of social media use and their challenges to better understand and assess its role in …